A method for mining periodic characteristics of GNSS position time series

Abstract

The invention discloses a method for mining periodic characteristics of GNSS position time series. The invention considers the limitations of traditional harmonic functions, introduces wavelet analysis, FAMOUS time-frequency analysis method, maximum likelihood estimation and other methods, and provides a Accurate GNSS position time series periodic signal analysis and characteristic analysis method. This method decomposes the original time series into new time series of different frequency bands based on the different natural frequencies of different signals in the original sequence, decomposes and reconstructs the signal, and processes each layer to obtain the required parts . The invention overcomes the limitations of the traditional GNSS time series model, helps to truly reflect the periodic changes of the coordinate sequence, further improves the accuracy and reliability of the coordinates of the GNSS station, obtains high-precision position and velocity parameters, and provides an in-depth understanding of the relevant earth It provides a basis for the influence mechanism and change law of physical phenomena.

Description

technical field [0001] The invention belongs to the technical field of continuous operation global positioning and navigation systems, and relates to a mining method for periodic characteristics of GNSS position time series. Background technique [0002] Recent studies have shown that GNSS coordinate time series exhibit obvious periodic changes (Dong et al., 2002; Van Dam et al., 2010, 2012; Jiang et al., 2013). [0003] The traditional GNSS coordinate sequence model considers that the GNSS coordinate sequence only includes annual and half-annual items, ignoring other periodic changes, and may even make wrong interpretations of some geophysical phenomena. How to accurately and efficiently identify the periodic characteristics of GNSS coordinate sequences is one of the key issues in GNSS coordinate time series. [0004] At present, there are some deficiencies in mining the periodic characteristics of GNSS position time series: 1) What is the periodic physical origin and what...

AI Technical Summary

Problems solved by technology

[0004] At present, there are some deficiencies in mining the periodic characteristics of GNSS position time series: 1) What is the periodic physical origin and what periodic signals are included in the GNSS coordinate sequence, there is a lack of in-depth research; Based on the harmonic function, it is estimated by the least squares method, which has certain limitations; 3) Most studies have not conducted in-depth analysis of the periodic characteristics of the coordinate sequence, and only determine the period (main frequency) of the new periodic signal obtained, without Discuss its physical properties, influencing factors, and origins

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